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A PyTorch implementation of the YOLO v3 object detection algorithm
pip install pyolov3
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==1.4.0==0.5.0>=4.2.0,<5.0.0>=3.2,<4.0>=3.2.1,<4.0.0pyolov3 publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.7, 3.8.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .